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《Computer Engineering and Applications》 2002-24
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Realization and Optimization of Association Rule Mining Algorithm

Xin Zhi 1 Liu Shaohui 2 Shi Zhongzhi 21 (Graduate School of University of Science and Technology of China,Beijing100039) 2 (The Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Sciences,Beijing100080)  
Association rule mining searches for interesting relationships among items.Association rule is now used as one of efficient data mining tools.In all association rule algorithms ,the apriori algorithm is one of the keys.To huge scale and complex of data sets,how to choose the data structure,how to optimize the process,are all very important for the performance of the algorithm.This paper first introduces the principle of association rule and its realization by apri-ori algorithm.Then some improvements of apriori algorithm are proposed,such as creating a tree structure to store all frequent itemsets and using three kinds of cache optimization methods.These optimization can improve the algorithm ef-ficiency at the whole.The experiments show these improvements proposed in this paper can realize the Apriori algorithm accurately,efficiently and quickly in large data sets.
【CateGory Index】: TP301.6
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